Coordination paralysis
Hundreds of engineers manually aligning on decisions while innovation waits.
AI-powered systems engineering
Free your engineers to innovate. Let AI handle the rest.
Accelerate innovation cycles with AI-powered systems engineering. Validated architecture, faster delivery, full regulatory compliance.
Illustration: messy requirement documents flow into an AI structuring engine, then resolve into a SysML-style model with requirements, parts, and composition relationships.
01 — Data Input
SYS_REQ_v7_FINAL_USE_THIS.pdf
⚠ Stale refNAV-Rev3_DRAFT.docx
✗ ConflictHazardAnalysis_H-04_v2.pdf
✗ Missing tracePerf_budget_Q3_COPY2.xlsx
✗ No evidenceSensorFusion_spec_OLD.docx
● PendingFAIL-REQ-002_Degradation.pdf
⚠ Incomplete02 — AI Engine
Structuring
03 — SysML Output
<<requirement>>
collisionAvoidance
Detect obstacles at min range of 200 meters
<<requirement>>
perceptionAccuracy
Achieve 99.9% object detection accuracy
<<part>>
autonomousVehicle
<<part>>
perception
<<part>>
sensorFusion
<<part>>
environmental
Sensing
Sensing
<<part>>
semantic
Understanding
Understanding
<<part>>
object
Detection
Detection
Engineering's impossible tradeoffs
Learn more
Compliance burden
Proving positive risk balance across thousands of regulatory requirements. Every decision documented. Every change audited.
Documentation overload
Your best engineers validating models and managing documentation instead of solving hard problems.
Legacy tool limitations
Systems never designed for AI, real-time collaboration, or modern regulatory complexity.
ThunderGraph works differently
Learn moreEvaluate design alternatives instantly
Generate and compare multiple variants in minutes. See architectural implications before committing.
OPTION 01
Standard Model
SPECIFICATIONS
Weight1600 kg
Power250 HP
Fuel economy8.0 L/100 km
Cargo450 L
Cost$35k
PERFORMANCE PROFILE
OPTION 02
Performance Model
SPECIFICATIONS
Weight1500 kg
Power270 HP
Fuel economy6.7 L/100 km
Cargo400 L
Cost$40k
PERFORMANCE PROFILE
Automated impact analysis
Real-time change propagation across your entire system. Know what breaks before your team spends weeks hunting dependencies.
Autonomous Vehicle System · Impact Analysis
component · modified
LiDARPointCloudMODIFIED
scan_rate10 Hz
angular_res0.1°
component
NavigationSystemHIGH
path_latency42 ms
replanning_rate8 Hz
component
SensorFusion.ModuleHIGH
fusion_latency18 ms
output_torque340 Nm
requirement · fixed
SafetyReq.SR-04PASS
max_latency≤ 150 ms
asil_levelASIL-D
component
ObstacleDetectorHIGH
detect_range210 m
false_pos_rate0.8%
component
LocalizationProcHIGH
position_err±0.08 m
update_rate50 Hz
requirement · fixed
HazardAnalysis.HAR-11BPASS
max_risk_score≤ 0.20
review_cyclequarterly
component
mapDatabaseMED
patch_rate5 Hz
tile_resolution0.5 m
standard · fixed
ComplianceTest.ISO-26262PASS
max_risk_score0.18
asil_targetASIL-D
Initializing...
Self-writing compliance reports
AI-generated documentation with full rationale and traceability. Give regulators audit trails without pulling engineers off critical work.
Intelligent digital threads
Every system element carries context and reasoning. The AI understands why decisions were made, not just what was documented.
See ThunderGraph in action
Book a demo to see how ThunderGraph helps engineering teams evaluate alternatives faster, trace decisions automatically, and prepare audit-ready documentation.
Get a quick look at how ThunderGraph fits your workflow before you commit time to a deeper evaluation.
What happens next
1
Open the booking flow
2
Pick a time that works
3
Meet with us live
What to expect
- ✓Tailored to your workflow and business needs
- ✓Focused on pain points slowing engineering teams down
- ✓A chance to ask anything about ThunderGraph